Build and support the delivery of machine learning-driven features for our platform, partnering with Product Managers, Architects and Data Scientists to use Machine Learning techniques. Work closely with Product Managers, Software Developers, and Data Scientists to design, build, maintain and optimize our data management and machine learning applications. Collaborate virtually across the UK, India, and North America.

As a ML Engineer on the Data Platform team, you’ll develop and deploy advanced machine learning models and algorithms on a cloud environment. You'll implement end-to-end machine learning pipelines, starting from data collection, feature engineering, model training, evaluation, to deployment. Build frameworks to measure model performance and accuracy in production environments.

Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML development. Collaborate with a cross functional agile team to build new product features that advance our mission to connect artists and fans. Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users.

Looking for an AI Engineer to take ownership of our AI initiatives, driving the development and integration of AI/ML solutions across our products and services. This role will be responsible for designing, implementing, and maintaining AI models, particularly focusing on LLMs (Large Language Models) and other advanced AI technologies. You will work closely with cross-functional teams to identify use cases.

As a Software Engineer - Vision, you will be part of a passionate team focused on bringing intelligence to the world’s trucks and building technology to understand driving behavior and identify risk factors to improve fleet safety. You will design and implement complex computer vision systems, improve algorithms for edge processing and integrate cloud services to deliver end-to-end product features, and solve challenging object detection, segmentation, recognition, and geometric computer vision problems.

In this role, you will develop and implement cutting-edge algorithms for imagery analysis. You will enhance our processing pipelines and quality assurance, improve georeferencing processes and experiment with different approaches. You will also optimize our deep learning models, ensuring scalability and efficiency. Furthermore, implement detectors, masks and feature extraction as needed.

Shape the technical direction of 1upHealth as the first AI engineering hire. Define best practices and build high-impact AI-driven solutions from the ground up. Work closely with cross-functional teams to translate complex healthcare challenges into innovative products that leverage advanced AI techniques and implement end-to-end AI systems.

Join HubSpot's Data, Systems & Intelligence (DSI) team as a Senior ML Engineer to support internal Sales and Customer Success (CS) clients. You'll deliver scalable AI/ML and data products to improve efficiency for Sales and Customer Success reps, working with a high-growth team deeply valuing intellectual curiosity and collaboration. Build, train, and deploy ML models, conduct experiments, and maintain code quality.

Leverage ML/AI to tackle real-world problems in scientific visualization, data analysis, or image processing. Dive deep into challenges, explore unconventional solutions, and deliver results that exceed expectations. Work alongside engineers and domain experts. Take full end-to-end ownership of customer problems—from data gathering to production solutions. Keep up with cutting-edge research in AI.

Design, implement, and optimize models that leverage sensor data to detect anomalies, classify defects, predict equipment failures, and enhance overall reliability. Work with cross-functional teams to deliver impactful solutions that keep critical systems running at peak efficiency. Candidates must be based in the United States.